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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Strategist

Nexus Innovations
San Francisco
Estimated Salary
USD 150.000 – USD 200.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Innovations as a pioneering AI Ethics Strategist to shape the ethical frontier of artificial intelligence in 2026 and beyond. We're seeking a visionary leader to embed responsible AI principles into our product lifecycle while navigating complex regulatory landscapes. This role sits at the intersection of technology, policy, and human values, driving initiatives that ensure AI systems advance humanity ethically.

You'll collaborate with cross-functional teams to develop frameworks for bias mitigation, algorithmic transparency, and human-centric AI design. Our ideal candidate thrives in ambiguity and possesses deep expertise in emerging AI ethics challenges, from deepfakes to autonomous decision-making systems.

Responsibilities

  • Develop and implement AI ethics governance frameworks aligned with global standards (EU AI Act, NIST RMF)
  • Conduct algorithmic audits for bias detection and mitigation across ML pipelines
  • Lead stakeholder engagement with policymakers, NGOs, and industry consortia
  • Design ethics-by-design protocols for new AI product development
  • Author thought leadership on AI ethics trends and regulatory impacts
  • Establish KPIs for ethical AI performance and continuous improvement
  • Mentor cross-functional teams on responsible AI implementation

Qualifications

  • Master's degree in Computer Science, Philosophy, Ethics, or related field with 5+ years AI ethics experience
  • Proven track record developing AI ethics policies for commercial products
  • Expertise in regulatory frameworks (GDPR, EU AI Act, NIST AI RMF)
  • Strong understanding of ML model explainability techniques (SHAP, LIME)
  • Experience with bias assessment tools (IBM Fairness 360, Google What-If Tool)
  • Published research or whitepapers on AI ethics or responsible AI
  • Exceptional communication skills for technical and non-technical audiences

Required Skills

AI Ethics Machine Learning Algorithmic Auditing Policy Development Bias Mitigation Regulatory Compliance Explainable AI Governance Frameworks

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